Masashi Takeda

161 total papers · 5.9k total citations
103 papers, 4.4k citations indexed

About

Masashi Takeda is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Masashi Takeda has authored 103 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Surgery, 38 papers in Pulmonary and Respiratory Medicine and 29 papers in Oncology. Recurrent topics in Masashi Takeda's work include Renal cell carcinoma treatment (10 papers), Breast Cancer Treatment Studies (8 papers) and Renal and related cancers (6 papers). Masashi Takeda is often cited by papers focused on Renal cell carcinoma treatment (10 papers), Breast Cancer Treatment Studies (8 papers) and Renal and related cancers (6 papers). Masashi Takeda collaborates with scholars based in Japan, China and United States. Masashi Takeda's co-authors include Seiichi Hirota, A Kurata, Yuzuru Kanakura, Masato Hanada, Koji Isozaki, Yukihiko Kitamura, Toshirou Nishida, Shingo Ishiguro, Yūji Matsuzawa and Kiyoshi Kawano and has published in prestigious journals such as Science, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Masashi Takeda

92 papers receiving 4.2k citations

Hit Papers

Gain-of-Function Mutation... 1998 2026 2007 2016 1998 1000 2.0k 3.0k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Masashi Takeda 2.7k 2.5k 1.7k 666 564 103 4.4k
Kiyoshi Kawano 2.7k 1.0× 2.4k 1.0× 1.9k 1.1× 1.0k 1.5× 713 1.3× 89 5.1k
A. van Oosterom 2.5k 0.9× 3.7k 1.5× 1.3k 0.8× 856 1.3× 1.8k 3.2× 87 6.1k
Martin E. Blackstein 2.5k 0.9× 3.9k 1.6× 1.6k 0.9× 1.0k 1.5× 2.0k 3.5× 102 6.3k
Cathryn Rankin 1.5k 0.6× 2.2k 0.9× 1.1k 0.6× 464 0.7× 988 1.8× 48 3.6k
Herlinde Dumez 1.2k 0.4× 2.3k 0.9× 778 0.5× 1.5k 2.2× 1.7k 3.0× 145 4.8k
Sandra Silberman 3.5k 1.3× 4.0k 1.6× 1.8k 1.1× 1.0k 1.5× 1.8k 3.2× 38 6.8k
Hans‐Ulrich Schildhaus 1.1k 0.4× 2.0k 0.8× 926 0.5× 990 1.5× 1.6k 2.9× 188 4.2k
Elena Tamborini 1.1k 0.4× 3.3k 1.3× 1.1k 0.7× 1.0k 1.6× 1.8k 3.1× 144 5.6k
Zariana Nikolova 967 0.4× 1.4k 0.5× 532 0.3× 746 1.1× 595 1.1× 53 3.1k
Katherine A. Janeway 682 0.3× 2.0k 0.8× 677 0.4× 1.4k 2.1× 1.1k 1.9× 147 4.3k

Countries citing papers authored by Masashi Takeda

Since Specialization
Citations

This map shows the geographic impact of Masashi Takeda's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Masashi Takeda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masashi Takeda more than expected).

Fields of papers citing papers by Masashi Takeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Masashi Takeda. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Masashi Takeda. The network helps show where Masashi Takeda may publish in the future.

Co-authorship network of co-authors of Masashi Takeda

This figure shows the co-authorship network connecting the top 25 collaborators of Masashi Takeda. A scholar is included among the top collaborators of Masashi Takeda based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Masashi Takeda. Masashi Takeda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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2026